Praxis AI
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    • 🎗️Introduction
    • 🧠Installation
  • Infrastructure
    • 🗞️Litepaper
    • 🖼️Framework Guide
    • ⚙️API Reference
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  • Abstract
  • Core Principles
  • Technical Architecture
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  1. Infrastructure

Litepaper

Abstract

PraxisAI represents a paradigm shift in how developers build and deploy AI applications. By combining the power of Praxis' validation with modern AI development patterns, it creates a framework that is both powerful and practical.

Core Principles

  1. Type Safety First

    • Strong typing throughout the application lifecycle

    • Validated inputs and outputs

    • Clear error messages and debugging

  2. Production Ready

    • Built for scalability

    • Performance optimized

    • Enterprise-grade reliability

  3. Developer Experience

    • Intuitive API design

    • Familiar Python patterns

    • Comprehensive documentation

  4. AI Model Flexibility

    • Model-agnostic design

    • Easy integration of new models

    • Unified interface across providers

Technical Architecture

Components

  1. Agent System

    • Core execution engine

    • Tool management

    • Context handling

  2. Type System

    • Praxis models

    • Custom validators

    • Schema generation

  3. Dependency Injection

    • Service management

    • Testing utilities

    • Resource handling

  4. Monitoring

    • Logfire integration

    • Performance tracking

    • Behavior monitoring

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